OpenAI scraps new AI model following internal safety warnings
OpenAI is halting the launch of a new advanced AI model scheduled for October 2026. The decision was made after internal safety tests revealed deficiencies ahead of the company's developer conference.

What happened?
OpenAI has decided to postpone and scrap the planned launch of its next AI model after internal safety tests raised alarms. The model's debut was originally scheduled for October, coinciding with the company's developer conference in San Francisco. However, tests conducted by the company's own researchers revealed security flaws that led to the project being halted.
Key facts
| Rapporterat datum | 28 september 2026 |
|---|---|
| Planerad lanseringsmånad | Oktober 2026 |
| Huvudsaklig orsak | Interna säkerhetstester av forskare |
| Planerade integrationer | ChatGPT och Codex |
Why it matters
The measure underscores the mounting safety challenges in developing increasingly advanced AI models. Halting a launch-ready model just before a major developer conference indicates that OpenAI is prioritizing internal safety assessments over meeting commercial deadlines, amid intensifying scrutiny from regulators and the public.
Who is affected?
The decision primarily affects developers and companies that planned to build applications based on the new model via ChatGPT and Codex. End users anticipating new AI features during the autumn are also affected, as OpenAI shifts its focus to addressing the identified safety issues.
Impact on the EU
The decision to pause the launch applies globally, meaning the model will not be available to users or developers within the EU. OpenAI continues to be subject to the EU AI Act, which imposes stringent requirements on risk management and safety testing for advanced AI models.
What else you should know
The reports were originally published by the Wall Street Journal on 28 September and subsequently confirmed by Reuters. The decision highlights a growing conflict within the AI industry between rapid product development and the necessity for thorough safety analysis before a wide-scale rollout.
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